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Record W6929553605 · doi:10.48448/c068-ar09

Toward a spin-tensor-momentum coupled Bose-Einstein condensate

2021· other· en· W6929553605 on OpenAlexaff

Bibliographic record

VenueUnderline Science Inc. · 2021
Typeother
Languageen
FieldSocial Sciences
TopicSocial Acceptance of Renewable Energy
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCoupling (piping)Spin (aerodynamics)Tensor (intrinsic definition)Phase (matter)Ground stateMomentum (technical analysis)State of matterQuantumRepresentation (politics)

Abstract

fetched live from OpenAlex

The spin state of an electron has a 3-dimensional vector representation. In spin-orbit coupling (SOC), an electron’s external momentum becomes linked to its spin vector. This phenomenon appears in many different systems, including atomic and crystal band structure, (quantum) spin-Hall systems, and topological insulators. Previous experiments have used Raman coupling to generate and study several forms of SOC in pseudospin-1/2 ultracold gases. A similar method has been proposed to couple a quantum gas’ linear momentum with a spin tensor - a representation of a higher (spin-1+) state. While possessing a rich ground state phase diagram, this spin-tensor-momentum coupled system also provides an opportunity to directly observe a dynamical supersolid-like stripe phase with a tunable stripe period. This poster reports our experimental progress toward producing and characterizing this novel state of matter using a Rb-87 Bose-Einstein condensate.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.042
GPT teacher head0.337
Teacher spread0.295 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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